Zongxia Li

According to our database, Zongxia Li authored at least 19 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

R-Zero: Self-Evolving Reasoning LLM from Zero Data.

Chengsong Huang, Wenhao Yu, Xiaoyang Wang, Hongming Zhang, Zongxia Li, Ruosen Li, Jiaxin Huang, Haitao Mi, Dong Yu

CoRR, August, 2025

Semantically-Aware Rewards for Open-Ended R1 Training in Free-Form Generation.

Zongxia Li, Yapei Chang, Yuhang Zhou, Xiyang Wu, Zichao Liang, Yoo Yeon Sung, Jordan Lee Boyd-Graber

CoRR, June, 2025

VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding.

Zongxia Li, Xiyang Wu, Guangyao Shi, Yubin Qin, Hongyang Du, Tianyi Zhou, Dinesh Manocha, Jordan Lee Boyd-Graber

CoRR, May, 2025

Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators.

Feng Gu, Zongxia Li, Carlos Rafael Colon, Benjamin Evans, Ishani Mondal, Jordan Lee Boyd-Graber

CoRR, March, 2025

Large Language Models Struggle to Describe the Haystack without Human Help: Human-in-the-loop Evaluation of LLMs.

Zongxia Li, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Paiheng Xu, Alden Dima, Juan Francisco Fung, Jordan L. Boyd-Graber

CoRR, February, 2025

Benchmark Evaluations, Applications, and Challenges of Large Vision Language Models: A Survey.

Zongxia Li, Xiyang Wu, Hongyang Du, Huy Nghiem, Guangyao Shi

CoRR, January, 2025

A Survey of State of the Art Large Vision Language Models: Benchmark Evaluations and Challenges.

Zongxia Li, Xiyang Wu, Hongyang Du, Fuxiao Liu, Huy Nghiem, Guangyao Shi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Large Language Models Struggle to Describe the Haystack without Human Help: A Social Science-Inspired Evaluation of Topic Models.

Zongxia Li, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Paiheng Xu, Daniel Kofi Stephens, Juan Francisco Fung, Alden Dima, Jordan Lee Boyd-Graber

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

PANDA (Pedantic ANswer-correctness Determination and Adjudication): Improving Automatic Evaluation for Question Answering and Text Generation.

Zongxia Li, Ishani Mondal, Yijun Liang, Huy Nghiem, Jordan Lee Boyd-Graber

CoRR, 2024

Beyond Automated Evaluation Metrics: Evaluating Topic Models On Practical Social Science Content Analysis Tasks.

Zongxia Li, Andrew Mao, Daniel Kofi Stephens, Pranav Goel, Emily Walpole, Alden Dima, Juan Fung, Jordan L. Boyd-Graber

CoRR, 2024

SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement.

Ishani Mondal, Zongxia Li, Yufang Hou, Anandhavelu Natarajan, Aparna Garimella, Jordan L. Boyd-Graber

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

PEDANTS: Cheap but Effective and Interpretable Answer Equivalence.

Zongxia Li, Ishani Mondal, Huy Nghiem, Yijun Liang, Jordan L. Boyd-Graber

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis.

Zongxia Li, Andrew Mao, Daniel Kofi Stephens, Pranav Goel, Emily Walpole, Alden Dima, Juan Fung, Jordan L. Boyd-Graber

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models.

Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu, Xijun Wang, Lichang Chen, Furong Huang, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?

Haozhe An, Christabel Acquaye, Colin Wang, Zongxia Li, Rachel Rudinger

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models.

Fuxiao Liu, Tianrui Guan, Zongxia Li, Lichang Chen, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou

CoRR, 2023

Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps.

Zongxia Li, Paiheng Xu, Fuxiao Liu, Hyemi Song

CoRR, 2023

SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models.

Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2021

An Empirical Comparison of the Quadratic Sieve Factoring Algorithm and the Pollard Rho Factoring Algorithm.

Zongxia Li, William Gasarch

CoRR, 2021